Hello everyone!
I’m working on a computer vision task that involves detecting broken fences, but the dataset I have is quite small.
I was thinking of generating synthetic data to overcome this issue. Since it’s easier to find images of intact fences, I thought about using an image-to-image model to artificially “break” parts of the fence in those images.
Do you think this approach is feasible? Any suggestions or recommendations on how to implement this?
Thanks in advance!
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